Journal of energy storage最新文献

{"title":"Optimizing renewable energy systems for 100 % clean energy target: A comparative study of solar, hydro, pumped hydro, and battery storage technologies","authors":"Zainullah Serat","doi":"10.1016/j.est.2024.114441","DOIUrl":"10.1016/j.est.2024.114441","url":null,"abstract":"<div><div>Addressing global environmental concerns and rising energy demand underscores the urgent need for sustainable renewable energy solutions. This study introduces a novel optimization framework for 100 % hybrid renewable energy systems (HRES) tailored for rural electrification, utilizing HOMER software. This study conducts a comprehensive comparative analysis of mono-crystalline silicon (m-Si) and poly-crystalline silicon (p-Si) photovoltaic (PV) technologies, integrated with hydro, pumped hydro storage (PHS), and battery storage systems, from both energy performance and economic perspectives. The study examines three scenarios, m-Si and p-Si PV systems with PHS, m-Si, and p-Si PV systems with battery storage, and a direct comparison of the optimal configurations from these scenarios. The results indicate that the p-Si PV/Hybrid/PHS system, with a capacity of 162 kW PV, 25 kW hydro, and 1525 kWh PHS, is the most cost-effective and energy-efficient solution. This system generates 474,399 kWh annually, with a net present cost (NPC) of US$472,528.54 and a cost of energy (COE) of US$0.101/kWh. Its superior economic performance and minimized excess energy make it the optimal choice for sustainable energy generation in the targeted rural area. Sensitivity analysis further underscores the critical role of solar irradiation and hydro flow rates in cost minimization. These findings highlight the importance of site-specific customization of PV technology and storage solutions, offering actionable insights for the design and implementation of sustainable energy systems in rural and off-grid environments. By providing a detailed optimization framework, this study significantly advances the development of renewable energy solutions, with potential applications in similar settings.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"104 ","pages":"Article 114441"},"PeriodicalIF":8.9,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SOH prediction of lithium-ion batteries using a hybrid model approach integrating single particle model and neural networks","authors":"Di Zhou ,&nbsp;Jinlian Liang ,&nbsp;Fuxiang Li ,&nbsp;Yuxin Cui ,&nbsp;Yunxiao Shan ,&nbsp;Yanhui Zhang ,&nbsp;Minghua Chen ,&nbsp;Shu Li","doi":"10.1016/j.est.2024.114579","DOIUrl":"10.1016/j.est.2024.114579","url":null,"abstract":"<div><div>The prediction of battery state of health (SOH) plays a vital role in battery management systems. A fusion model framework was proposed by integrating an improved single-particle model (SPM) with data-driven deep learning algorithms to enhance predictive accuracy and further elucidate the intrinsic mechanisms of battery aging. First, seven electrochemical features were extracted by the improved SPM, which exhibits a significant reduction in computational complexity compared to conventional electrochemical models. The validity of the extracted features was further verified through the utilization of differential voltage analysis (DVA). Second, a hybrid model was constructed which combines temporal convolutional network (TCN) and bidirectional long short-term memory network (BiLSTM). The effectiveness and superiority of the proposed model was demonstrated, with the full electrochemical features, on Oxford University dataset. Finally, experimental measurements were conducted on five different batteries with two different electrode materials combinations to further study SOH estimation across battery types. To address the forecasting challenges arising from data scarcity for a new type of battery, transfer learning was introduced. The results highlight the potential of this fusion framework to achieve more efficient and accurate SOH prediction.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"104 ","pages":"Article 114579"},"PeriodicalIF":8.9,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modulated synthesis of nickel copper bimetallic compounds by ammonium fluoride-based complex as novel active materials of battery supercapacitor hybrids","authors":"Tsung-Rong Kuo ,&nbsp;Muhammad Saukani ,&nbsp;Dong-Ching Chieh ,&nbsp;Yu-Cheng Cao ,&nbsp;Pin-Yan Lee ,&nbsp;Chutima Kongvarhodom ,&nbsp;Sibidou Yougbaré ,&nbsp;Hung-Ming Chen ,&nbsp;Kuo-Chuan Ho ,&nbsp;Lu-Yin Lin","doi":"10.1016/j.est.2024.114567","DOIUrl":"10.1016/j.est.2024.114567","url":null,"abstract":"<div><div>Bimetallic compounds have attracted much attention as efficient active materials of battery supercapacitor hybrid (BSH), owing to their multiple redox states, high electrical conductivity, and simply synthesis process. Nickel-based compounds offer high theoretical capacities, while copper-based compounds provide high electrical conductivity. The energy storage performance can be further enhanced designing favorable morphologies, which can be influenced by the incorporation of structure directing agents (SDAs) such as NH₄BF₄ and NH₄HF₂. In this study, nickel and copper bimetallic compounds are synthesized as active materials of BSHs in a novel environment containing metal salts, NH₄BF₄, NH₄HF₂, and 2-methylmidozole. The effects of the Cu to Ni ratio on material and electrochemical properties are investigated. To enhance the electrochemical contributions of nickel, which has higher theoretical capacities, the reaction time for copper ions is reduced. The optimal bimetallic (CuNi13) electrode achieves the highest specific capacitance (C_F) of 1758.0 F/g, corresponding to a capacity of 791.1C/g at 1 A/g, due to the higher nickel content and smaller sheet sizes. The BSH assembled using the CuNi13 and reduced graphene oxide electrodes demonstrates a maximum energy density of 109.1 Wh/kg at 1071 kW/kg. The C_F retention of 85.5% and Coulombic efficiency of 93.6% are also maintained after 10,000 cycles.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"104 ","pages":"Article 114567"},"PeriodicalIF":8.9,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A renewable multigeneration system based on biomass gasification and geothermal energy: Techno-economic analysis using neural network and Grey Wolf optimization","authors":"Jing Wang ,&nbsp;Ali Basem ,&nbsp;Hayder Oleiwi Shami ,&nbsp;Veyan A. Musa ,&nbsp;Pradeep Kumar Singh ,&nbsp;Yousef Mohammed Alanazi ,&nbsp;Ali Shawabkeh ,&nbsp;Husam Rajab ,&nbsp;A.S. El-Shafay","doi":"10.1016/j.est.2024.114519","DOIUrl":"10.1016/j.est.2024.114519","url":null,"abstract":"<div><div>Environmental challenges such as climate change, air pollution, and resource depletion are intensifying due to the widespread reliance on fossil fuels for energy. Addressing these problems requires a shift toward cleaner, renewable energy sources that can meet growing energy demands while minimizing environmental impact. This paper provides a comprehensive analysis, combining thermodynamic principles and machine learning, of a novel system that includes a biomass gasifier, PEM electrolyzer, geothermal energy source, thermoelectric generators, and a humidification-dehumidification (HDH) desalination unit. The biomass gasifier converts feedstock into syngas, the primary fuel for a combined power cycle. Hydrogen storage is identified as a key factor in the wider adoption of hydrogen as a clean energy source, with efficient storage methods crucial for its use in fuel cells, transportation, and various industrial applications. Geothermal energy is incorporated to supplement the system's energy needs, enhancing sustainability. Additionally, the Kalina cycle recovers waste heat from the gas turbine to generate extra electricity, further boosting the system's efficiency. Data-driven models are utilized in an integrated system to predict system behavior, enabling real-time optimization and adaptive control, and enhancing performance and resource utilization. The combined thermodynamic and machine learning analysis provides insights into the complex interactions and synergies within the integrated renewable energy system. Results demonstrate the feasibility and potential of such systems to meet energy demands sustainably while minimizing environmental footprint. Elicited optimized results are comprised of two scenarios including essential parameters such as exergy efficiency, Ẇ_net (net produced work), and CP_sys (cost of products).The optimized point in the first optimization scenario depicts exergy efficiency, Ẇ_net, and CP_sys of 47.93 %, 5958 kW, and 56.97 $/GJ with the initial parameters. In the second optimization scenario, the optimized point depicts EI, Ẇ_net, and CP_sys of 0.3996 kg/kWh, 5957.88 kW, and 56.90 $/GJ with the initial parameters. In the third optimization scenario, the optimized point depicts EI, exergy efficiency, and ṁ_hydrogen of 0.3996 kg/kWh, 47.97 %, and 56.085 kg/h with the initial parameters.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"104 ","pages":"Article 114519"},"PeriodicalIF":8.9,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing the economic efficiency of wind-photovoltaic‑hydrogen complementary power systems via optimizing capacity allocation","authors":"Daohong Wei ,&nbsp;Mengwei He ,&nbsp;Jingjing Zhang ,&nbsp;Dong Liu ,&nbsp;Md. Apel Mahmud","doi":"10.1016/j.est.2024.114531","DOIUrl":"10.1016/j.est.2024.114531","url":null,"abstract":"<div><div>Renewable energy generation has emerged as an important strategy in achieving dual carbon. However, the inherent randomness and uncontrollability of major new energy resources present significant challenges for the safe and stable operation of power system. Advanced energy storage technologies are essential to enhance the stability of grid-connected power system incorporating wind and solar energy resources. Reasonable allocation of wind power, photovoltaic (PV), and energy storage capacity is the key to ensuring the economy and reliability of power system. To achieve this goal, a mathematical model of the wind-photovoltaic‑hydrogen complementary power system (WPHCPS) is established to achieve economical and reliable system operation. A control algorithm based on the composite grey wolf optimization (GWO) and particle swarm optimization (PSO) is proposed for the maximum power point tracking (MPPT) of PV system as well as capacity allocation of WPHCPS. Finally, a case demonstrating the optimal capacity configuration scheme is quantitatively analyzed, where the load shortage rate and abandonment rate of wind and solar power are considered. The quantified results show that the optimal operating scene is 50 wind turbines, 2521 PV arrays, 25 batteries, 30 electrolytic cells, 38 hydrogen storage tanks, and 54 hydrogen fuel cells, with the total revenue 232,895.9 CNY. The wind and solar abandonment rate and load interruption rate are 0.36 % and 0.21 %, respectively. The methods and results obtained provide a reference for improving the consumption and stability of the complementary power system and achieving sustainable utilization of clean energy.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"104 ","pages":"Article 114531"},"PeriodicalIF":8.9,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chemical reduction-induced defect-rich and synergistic effects of reduced graphene oxide based Cu-doped NiO nanocomposite (RGO@Cu-NiO NCs) decorated on woven carbon fiber for supercapacitor device and their charge storage mechanism","authors":"Fouzia Mashkoor ,&nbsp;Mohd Shoeb ,&nbsp;Javed Alam Khan ,&nbsp;Mohammed Ashraf Gondal ,&nbsp;Changyoon Jeong","doi":"10.1016/j.est.2024.114578","DOIUrl":"10.1016/j.est.2024.114578","url":null,"abstract":"<div><div>In today's technological landscape, energy storage devices such as batteries and supercapacitors play a critical role, with hybrid variants attracting significant attention. This study focuses on synthesizing a ternary nanocomposite material composed of reduced graphene oxide adorned Cu-doped NiO (RGO@Cu-NiO NC) for high-performance supercapacitor device applications. Unlike most research that analyzes NiO-based nanocomposites in alkaline electrolytes, our study explores RGO@Cu-NiO NCs coated on woven carbon fiber in Na₂SO₄ electrolyte, revealing a more dominant surface reaction mechanism. Electrochemical analysis unveiled that the specific capacitances of RGO@Cu-NiO NCs surpass those of Cu-doped NiO NPs by 1.14 times and those of pristine NiO nanoparticles (NPs) by 1.28 times, showcasing a remarkable enhancement in performance. Additionally, the study investigated the charge storage mechanism, providing intriguing insights into the capacity contribution from RGO@Cu-NiO NC to the overall capacitance. The outstanding performance of RGO@Cu-NiO NCs is attributed to incorporating RGO sheets and enhancing charge-storage capacity through facilitated conductive networks. Impressively, the material retained 94 % capacity even after 10,000 cycles. Furthermore, a symmetric supercapacitor device (SSD) based on RGO@Cu-NiO NCs demonstrated a notable specific capacitance of 261.25 F/g at 1.5 A/g, along with 43.54 Wh/kg energy density at 750 W/kg power density, and retained ~96 % capacitance after 10,000 cycles. These findings establish RGO@Cu-NiO nanocomposites as auspicious materials for advanced supercapacitor applications.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"104 ","pages":"Article 114578"},"PeriodicalIF":8.9,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum to “Tailoring the interfacial surfaces of ultrathin Cu-doped MoS2/activated carbon for high performance electrochemical energy storage” [J. Energy Storage 102 (2024) 114173]","authors":"Kamarajar Prakash ,&nbsp;Shanmugasundaram Kamalakannan ,&nbsp;Jayaram Archana ,&nbsp;Mani Navaneethan ,&nbsp;Santhanakrishnan Harish","doi":"10.1016/j.est.2024.114535","DOIUrl":"10.1016/j.est.2024.114535","url":null,"abstract":"","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"103 ","pages":"Article 114535"},"PeriodicalIF":8.9,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Harnessing sustainable energy: Synthesizing a trinary chalcogenide semiconductor BaS:Sb2S3:CuS for enhanced performance in supercapacitor devices and electro-catalysis","authors":"Shaan Bibi Jaffri ,&nbsp;Khuram Shahzad Ahmad ,&nbsp;Jehad S. Al-Hawadi ,&nbsp;Harsh Panchal ,&nbsp;Ram K. Gupta ,&nbsp;Ghulam Abbas Ashraf ,&nbsp;Mohammad K. Okla","doi":"10.1016/j.est.2024.114527","DOIUrl":"10.1016/j.est.2024.114527","url":null,"abstract":"<div><div>The BaS:Sb₂S₃:CuS trinary chalcogenide is synthesized with a diethyldithiocarbamate ligand as a chelating substance in order to increase the effectiveness of charge storage devices and operate as an energy generation catalyst. The sustainably produced BaS:Sb₂S₃:CuS semiconductor showed good photo-activity because of its light absorption, with an energy band gap of 2.57 eV. The BaS:Sb₂S₃:CuS electrochemical performance was evaluated using a traditional three-electrode setup. With a specific power density of 8161 W kg⁻¹ and a specific capacitance of up to 958.91 F g⁻¹, BaS:Sb₂S₃:CuS has shown to be a great electrode material for energy storage applications. The same series resistance (<em>R</em>_<em>s</em>) of 2.02 Ω further supported this remarkable electrochemical performance. Through electro-catalysis, the electrode produced an OER overpotential and a corresponding Tafel slope of 419 mV and 186 mV/dec. On the other hand, the Tafel slope and overpotential for HER activity were 321 mV/dec and 154 mV, respectively.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"103 ","pages":"Article 114527"},"PeriodicalIF":8.9,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pre‑carbonization for regulating sucrose-based hard carbon pore structure as high plateau capacity sodium-ion battery anode","authors":"Yuanting Yan ,&nbsp;Ge Chen ,&nbsp;Wenjing Liu ,&nbsp;Meizhen Qu ,&nbsp;Zhengwei Xie ,&nbsp;Feng Wang","doi":"10.1016/j.est.2024.114590","DOIUrl":"10.1016/j.est.2024.114590","url":null,"abstract":"<div><div>Although hard carbon still suffers from low initial coulombic efficiency and a controversial sodium storage mechanism, it is widely explored and utilized as an anode material for sodium-ion batteries due to its affordability and accessibility. This work used pre‑carbonization to construct sufficient reaction time of volatile reactive molecules released from matrix in the carbon interlayers, hence optimizing the structure of the nanopore and the graphite microcrystal inside the sucrose-based hard carbon. The sucrose-based hard carbon after pre‑carbonization treatment has an expanded carbon layer spacing, an appropriate micro-mesopore ratio, and a distinct closed pore structure. The result provides evidence that the low-voltage plateau region capacity is related to two Na⁺ storage behaviors: intercalation between carbon layers and pore-filling in nanopores. Further larger interlayer distances, lower micro-mesoporous ratios, and closed pores are favorable for sodium storage in the low-voltage plateau region which is assisting to improve the initial coulombic efficiency. In comparison to previously published studies, the pre‑carbonized hard carbon at 450 °C with a heating rate of 3 °C/min exhibits an impressive plateau capacity of 277 mAh g⁻¹, increasing the contribution of the plateau capacity from 54 % to 63 %, while also enhancing cycling and rate performance. Furthermore, it has a significant initial coulombic efficiency (ICE) of 85 % and a noteworthy reversible specific capacity of 374 mAh g⁻¹ at a current density of 20 mA g⁻¹, which is noticeably better than the biomass hard carbon documented in the literature. Achieving a sustained low-voltage plateau capacity through microstructure modulation is crucial for producing hard carbon with both high specific capacity and rewarding ICE. This study presents a novel approach for the preparation sucrose based hard carbon of high plateau capacity and is expected to contribute significantly to the development of high energy density sodium-ion battery energy storage systems.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"104 ","pages":"Article 114590"},"PeriodicalIF":8.9,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting batteries second-life state-of-health with first-life data and on-board voltage measurements using support vector regression","authors":"Shymaa Mohammed Jameel ,&nbsp;J.M. Altmemi ,&nbsp;Ahmed A. Oglah ,&nbsp;Mohammad A. Abbas ,&nbsp;Ahmad H. Sabry","doi":"10.1016/j.est.2024.114554","DOIUrl":"10.1016/j.est.2024.114554","url":null,"abstract":"<div><div>Electric vehicle (EV) batteries experience significant degradation during their primary use. While reaching End-of-Life (EOL) for EVs, these batteries hold the potential for a “Second-life” in less demanding applications. However, accurate estimation for State-of-Health (SoH) remains a challenging task as it requires extensive monitoring communications in Second-life settings. This study proposes a novel data-efficient approach to predicting Second-life SoH with minimal Second-life measurements and readily available first-life data. This work introduces a Support Vector Regression (SVR) model trained on first-life features to estimate discharge capacity in the Second-life. Only terminal voltage measurements (TIECVD and TIEDVD) during Second-life operation are utilized to predict SoH. Unlike existing methods involving broad Second-life monitoring, this approach focuses on energy delivery as an indicator of the battery's ability to power continuous operation, reducing complexity and data acquisition costs. To validate the proposed technique, we conducted experiments using Lithium-ion batteries with NASA's dataset including three different battery models. The results of using the SVR model achieved a Root Mean Square Error (RMSE) between actual and predicted SoH data ranging from 0.0012 to 0.0158, signifying its effectiveness over various battery types. This innovative SoH prediction method using first-life data and minimal Second-life measurements clears the way for better predicting the Remaining Useful Life (RUL) in Second-life EV batteries.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":"104 ","pages":"Article 114554"},"PeriodicalIF":8.9,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}